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Postman

Analytics Engineer

Posted 2 Days Ago
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Hybrid
Bengaluru, Bengaluru Urban, Karnataka
Mid level
Hybrid
Bengaluru, Bengaluru Urban, Karnataka
Mid level
The Analytics Engineer will design data models, manage dbt projects, optimize SQL queries, establish testing standards, and ensure data quality for analytics needs.
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Who Are We?

Postman is the world’s leading API platform, used by more than 40 million developers and 500,000 organizations, including 98% of the Fortune 500. Postman is helping developers and professionals across the globe build the API-first world by simplifying each step of the API lifecycle and streamlining collaboration—enabling users to create better APIs, faster.

The company is headquartered in San Francisco and has offices in Boston, New York, and Bangalore - where Postman was founded. Postman is privately held, with funding from Battery Ventures, BOND, Coatue, CRV, Insight Partners, and Nexus Venture Partners. Learn more at postman.com or connect with Postman on X via @getpostman.

P.S: We highly recommend reading The "API-First World" graphic novel to understand the bigger picture and our vision at Postman.

The Opportunity

We are looking for an Analytics Engineer to join our data team and strengthen the foundation of our modern data stack. In this role, you’ll take ownership of critical transformation pipelines, design scalable data models, and ensure that our analytics environment is performant, trustworthy, and future-proof.

As an AE, you’ll bring strong fundamentals in SQL, data modeling, and dbt while also leaning into emerging best practices like semantic layers, medallion architecture, and lakehouse paradigms. You’ll be expected to operate with a high degree of independence, and drive projects from design through production.

What You’ll Do
  • Take ownership of large portions of our dbt project (3k+ models, custom macros, tests), ensuring scalability, maintainability, and adherence to best practices.

  • Design and implement robust data models using dimensional modeling, incremental strategies, and Slowly Changing Dimensions (SCDs).

  • Establish and enforce dbt test coverage, automated quality checks, and CI/CD pipeline standards (GitHub Actions).

  • Profile and optimize SQL queries and warehouse performance, with a focus on efficiency and cost reduction.

  • Build and refine our semantic layer, ensuring consistent business logic across Looker, Redash, and downstream tools.

  • Collaborate with analysts and business partners to define metrics and deliver self-serve data assets.

  • Document models, lineage, and transformation logic, making data discoverable and usable across the company.

  • Contribute to shaping team standards and playbooks, collaborating with analysts in modeling and transformation best practices.

  • Stay ahead of the curve on modern data stack innovations (dbt metrics layer, universal semantic layers, data contracts, observability).

Enabling Self-Serve Analytics & AI
  • Design data models for self-service: Build transformations that empower business stakeholders and analysts to confidently explore, slice, and deep dive into data without depending on engineering.

  • Semantic layer ownership: Ensure that definitions of metrics and dimensions are consistent, discoverable, and reusable across BI tools and ad hoc queries.

  • AI-ready data foundation: Prepare clean, structured, and accessible datasets to support initiatives like conversational analytics, anomaly detection, and AI-driven decision support.

  • Partner with data science & ML teams: Provide reliable, well-modeled data pipelines that accelerate experimentation and deployment of AI/ML features.

  • Champion usability: Advocate for modeling approaches that balance performance, governance, and accessibility so data can be confidently used by both technical and non-technical stakeholders.

About You
  • 3–5 years of experience in analytics engineering roles.

  • Advanced SQL skills (query optimization, performance tuning, execution plans).

  • Strong proficiency with dbt Core: models, macros, snapshots, sources, custom materializations.

  • Solid background in data modeling techniques (Kimball, SCD handling, incremental pipelines).

  • Practical experience with semantic layers and BI integration (LookML, dbt metrics, or equivalent).

  • Familiarity with Medallion architecture and modern lakehouse approaches.

  • Hands-on experience with Redshift and exposure to Databricks (experience with Databricks is a strong plus).

  • Proficiency with GitHub and CI/CD pipelines for analytics code.

  • Strong fundamentals in data quality, governance, and lineage tracking.

This position requires you to be present in our Bangalore office on Mondays, Wednesdays & Fridays.

What Else?

In addition to Postman's pay-on-performance philosophy, and a flexible schedule working with a fun, collaborative team, Postman offers a comprehensive set of benefits, including full medical coverage, flexible PTO, wellness reimbursement, and a monthly lunch stipend. Along with that, our wellness programs will help you stay in the best of your physical and mental health. Our frequent and fascinating team-building events will keep you connected, while our donation-matching program can support the causes you care about. We’re building a long-term company with an inclusive culture where everyone can be the best version of themselves. 

At Postman, we embrace a hybrid work model. For all roles based out of San Francisco Bay Area, Boston, Bangalore, Hyderabad, and New York, employees are expected to come into the office 3-days a week. We were thoughtful in our approach which is based on balancing flexibility and collaboration and grounded in feedback from our workforce, leadership team, and peers. The benefits of our hybrid office model will be shared knowledge, brainstorming sessions, communication, and building trust in-person that cannot be replicated via zoom.

Our Values

At Postman, we create with the same curiosity that we see in our users. We value transparency and honest communication about not only successes, but also failures. In our work, we focus on specific goals that add up to a larger vision. Our inclusive work culture ensures that everyone is valued equally as important pieces of our final product. We are dedicated to delivering the best products we can.

Equal opportunity

Postman is an Equal Employment Opportunity and Affirmative Action Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status. Headhunters and recruitment agencies may not submit resumes/CVs through this website or directly to managers. Postman does not accept unsolicited headhunter and agency resumes. Postman will not pay fees to any third-party agency or company that does not have a signed agreement with Postman.

Top Skills

Ci/Cd
Databricks
Dbt
Git
Looker
Redash
Redshift
SQL

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